LESRCNN

Lightweight Image Super-Resolution with Enhanced CNN（LESRCNN）is conducted by Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, Wangmeng Zuo, Chen Chen and Chia-Wen Lin, and accepted by Knowledge-Based Systems (IF:8.038) in 2020. It is implemented by Pytorch. And it is reported by Cver and 52CV. Its website is https://mp.weixin.qq.com/s/njlAEQXxjXKqFcxM7KYiqA.

Requirements (Pytorch)

Pytorch 0.41

Python 2.7

torchvision

openCv for Python

HDF5 for Python

Numpy, Scipy

Pillow, Scikit-image

importlib

tqdm

Commands

Test

Single SR model for x4

python tcw_sample.py --test_data_dir dataset/test --save_dir results

解释：test_data_dir 表示需超分的图片所存放的图片

save_dir 表示最终的图片所保存的地址。（这里为了展示我们图片的效果，我们保存的是输入与输出的对比图）